Specific heat log-periodicity from multifractal energy spectra
|
|
- Kellie Crawford
- 7 years ago
- Views:
Transcription
1 Physics Letters A 318 (2003) Specific heat log-periodicity from multifractal energy spectra Danyel J.B. Soares a, Marcelo L. Lyra b,, Luciano R. da Silva a a Departamento de Física, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil b Departamento de Física, Universidade Federal de Alagoas, Maceió, AL, Brazil Received 7 July 2003; accepted 29 August 2003 Communicated by J. Flouquet Abstract In this work, we investigate the emergence of log-periodic oscillations in the low-temperature behavior of the specific heat of systems whose energy spectra present a self-similar character. The critical attractor of z-generalized logistic maps are used to generate multifractal energy spectra with tunable singularity spectra. We study the relationship between the average value and amplitude of the log-periodic oscillations on the map nonlinearity strength as well as on the scaling exponents characterizing the energy spectrum. Our numerical results show a monotonic decrease of the oscillations amplitude with increasing nonlinearity. Further, we obtain that the average low-temperature specific heat is directly related to the minimum singularity strength governing the scaling behavior of the most concentrated energy range Elsevier B.V. All rights reserved. PACS: y; Hv; g Keywords: Multifractal energy spectral; Nonlinear maps; Log-periodic specific heat 1. Introduction Nonlinear one-dimensional dissipative maps have been widely used to describe some relevant aspects related to the emergence of complex behavior in nature. Usually the dynamical attractor presents a transition between periodic and chaotic behavior at which the map displays a strong exponential sensitivity to initial conditions [1]. At the onset of chaos, the attractor exhibits a multifractal structure with long-range temporal and spatial correlations [2]. Due to their simplicity, most of the scaling behavior characterizing the transi- * Corresponding author. address: marcelo@fis.ufal.br (M.L. Lyra). tion to chaos can be obtained with high accuracy and provide important insights on the behavior of more complex systems. The self-similar character of the critical attractor of low-dimensional dissipative maps has been explored to study some thermodynamic features of quasi-crystals. In general, quasi-crystals have properties that are intermediate between periodic and random structures [3,4]. In particular, the energy spectrum has a quite complex structure. Simplified fractals based in the Cantor set and Fibonacci sequence [5 8], as well as the critical attractor of the logistic and circle maps [9,10], have been used to model the energy spectrum of quasi-periodic systems. The thermodynamic behavior derived from such self-similar spectra display some anomalous features with the most prominent one being /$ see front matter 2003 Elsevier B.V. All rights reserved. doi: /j.physleta
2 D.J.B. Soares et al. / Physics Letters A 318 (2003) related to the emergence of log-periodic oscillations in the low-temperature behavior of the specific heat. A series of recent works have shown that the average low-temperature specific heat is intimately connected with some underlying fractal dimension characterizing the energy spectrum [6 8,10]. In the present work, we will contribute to this subject revealing additional features concerning the relationship between the low-temperature thermodynamic properties and the multifractal character of the energy spectra and the underlying nonlinearity. Specifically, we will consider the energy spectra and density of states generated by the family of z-generalized logistic maps. Within this family, the topological structure based on bifurcations is z-independent. However, the metrics defining all scaling exponents is z-dependent, thus allowing us to closely investigate the parametric relation between the average value and amplitude of the log-periodic oscillations of the specific heat and the scaling exponents characterizing the energy spectrum. where x n is a particular point of the critical attractor and min{x i } and max{x i } are the minimum and maximum values achieved by x n. Typically we generated 2 18 points in the attractor. In Fig. 1 we show the density of states (DOS) as obtained from the usual logistic map at a c (z = 2) = together with the integrated density of states (IDOS) for z = 1.1and z = 3.0. The self-similar character of the DOS is ex- 2. Energy spectra based on critical z-logistic maps In the following, we will consider a family of generalized logistic maps in the form x t+1 = 1 a x t z, (1) whose attractor displays a cascade of bifurcations converging to a critical point a c (z) after which chaotic orbits exist. The critical values a c (z) are known with high precision and can be found, for example, in [11]. At the critical point, the dynamical attractor can be characterized by a multifractal measure [2] with scaling exponents depending on the map inflexion z. The multifractality is fully characterized by the singularity spectrum f(α) which provides the fractal dimensions f of sets with singularity strength α. Usually, the singularity spectrum has a parabolic-like shape with minimum and maximum singularity strengths that correspond, respectively, to the exponents governing the scaling behavior in the most concentrated and rarefied regions of the attractor. Taking as a basic set the critical attractor of a z-generalized logistic map, we associate a normalized energy spectrum defined in the interval [0, 1] given by E n = x n min{x i } max{x i } min{x i }, (2) Fig. 1. (a) The density of states (DOS) derived from the usual logistic map (z = 2) at the onset of chaos. The energy of allowed states are defined in the text. The inset corresponds to an amplification of a small energy range which explicitly shows the scale invariant nature of the energy spectrum. (b) The integrated density of states (IDOS) derived from the generalized logistic maps with inflexions z = 1.1 and 3.0. The devil staircase shape reflects the presence of gaps on all energy scales. The slope in logarithmic scale correspond to the singularity strength α min of the most concentrated set of states.
3 454 D.J.B. Soares et al. / Physics Letters A 318 (2003) posed in the inset showing an amplification of a small energy range. The IDOS presents an average powerlaw behavior whose exponent corresponds to the minimum singularity strength of the critical attractor. The devil staircase shape is also a consequence of the scale invariant spectrum. These trends are common to maps with distinct inflexions although the power-law exponent of the IDOS is z-dependent. 3. The specific heat With the energy spectra generated using the procedure described in the last section, we compute the specific heat, using Boltzmann statistics ( ) [ 1 n C(T ) = E2 n e E n/t T 2 n e E n/t ( n E ne E ) ] n/t 2, (3) n e E n/t where we considered units of k B = 1, and thus dimensionless energy and temperature scales. In Fig. 2, we show the specific heat C(T ) obtained from the multifractal energy spectra derived from the z = 1.1 and z = 3.0 generalized logistic maps at the onset of Fig. 2. The specific heat C(T) of systems presenting multifractal energy spectra derived from the generalized logistic map with inflexions z = 1.1 (solid line) and 3.0 (dotted line). The log-periodic oscillations in the low-temperature regime reflects the scale invariance of the energy spectrum. The average value coincides with the minimum singularity strength α min which dominates the scaling behavior at the bottom of the energy band. The amplitude of these log-periodic oscillations decreases with increasing nonlinearity. However the period, in logarithmic temperature scale is roughly z-independent. chaos. In the high-temperature regime, C(T ) presents the usual 1/T 2 decay of bounded energy spectra for any inflexion z. At low-temperatures, the specific heat presents a sequence of Schottky peaks distributed in a log-periodic fashion in temperature scale. This feature is associated with the discrete scale invariant nature of the energy spectrum and its main characteristics have been explored in model systems with energy spectra derived from Cantor sets, Fibonacci sequences and iterated logistic and circle maps at the onset of chaos [5 10]. It has been well established that for monofractal energy spectra, as, for example, the one derived from single-scale Cantor sets, the specific heat oscillations are around the fractal dimension of the energy spectra. For energy spectra derived from multiscale Cantor sets, it has been demonstrated, both through scale arguments and numerically, that the oscillations are around one of the limiting dimensions of the multifractal singularity spectrum [8]. However, the factors controlling the amplitude of log-periodic oscillations are still not fully understood. For the present multifractal energy spectra derived from the family of z-logistic maps, we estimated the average value of the specific heat C at lowtemperatures for a wide range of z values. Our results are summarized in Table 1. Notice that C displays a nonmonotonic behavior as z is increased. We further noticed that, within our numerical accuracy, all estimated values for C coincide with the minimal singularity strength α min of the energy spectrum. This scaling exponent governs the scaling behavior of the most concentrated regions of the spectrum. The fact that C =α min means that the bottom of the energy band corresponds to one of the most concentrated sets of the energy spectrum. We also estimated the relative amplitude A = (C max C min )/ C of the log-periodic specific heat oscillations for distinct values of the logistic map inflexion z (see Table 1 and Fig. 3). These amplitudes monotonically decrease as z increases and, therefore, cannot be trivially correlated with α min. We explored its parametric dependence on the map nonlinearity z. We found that the relative amplitude reaches a maximum value of A max = 2 in the limit of very weak nonlinearity z 1. In this regime the log-periodic oscillations drive the specific heat to a minimum value very close to C min (T ) = 0 at some characteristic temperatures, which implies that the spectrum presents a
4 D.J.B. Soares et al. / Physics Letters A 318 (2003) Table 1 Critical parameters and specific heat data derived form z-generalized logistic maps. Values for the critical parameter a c, singularity strengths α min and α max and support fractal dimension d f are from Ref. [11]. Last two columns refer to the present estimates for the average value C(T ) of the specific heat in the low-temperature domain of log-periodic oscillations and the relative oscillation amplitudes A. Within our numerical accuracy, C(T ) coincides with the minimum singularity strength α min z a c α min α max d f C(T ) A = (C max C min )/ C(T) Fig. 3. The relative amplitude of the specific heat log-periodic oscillations as a function of the map inflexion. It achieves a maximum A max = 2 in the weakly non-linear limit z 1. The inset shows the asymptotic power-law decay of the oscillations amplitude. In the strongly non-linear regime z, our numerical results suggest that the relative amplitude scales as A 1/z 1/6. significant shortage of energy scales of the order of k B T. The amplitude of the log-periodic oscillations decreases with increasing nonlinearity. In the strongly nonlinear regime the asymptotic decay law can be fairly fitted by A 1/(z 1) 1/6. We have also observed that the period in logarithmic temperature scale of the log-periodic oscillations is roughly independent on the map inflexion z. of the specific heat of systems presenting a multifractal energy spectra. In the present study, the energy spectra were derived from the critical attractor of a family of generalized logistic maps. These spectra are more concentrated exactly at the first spectral branch and therefore, the low-temperature behavior of the thermodynamic properties are influenced by the fractal exponent α min governing the scaling behavior of the most concentrated set of states. We showed that the average value, around it the specific heat oscillates at low-temperatures, coincides with α min for any map inflexion z. However, the amplitude of these logperiodic oscillations are not directly correlated to the scaling behavior of a particular set of the energy spectrum. The log-periodic amplitudes are maximal in the weakly nonlinear regime and may drive the specific heat very near to vanishing values. On the other hand, these amplitudes vanishes in the asymptotic limit of z following a power-law decay. The period of these oscillations, in logarithmic temperature scale, is roughly independent of the map inflexion and therefore does not seem to be influenced by any scaling exponent. The above results remain valid for the family of periodic maps which belong to the same universality class of the z-logistic maps [11]. Acknowledgements 4. Summary and conclusions In summary, we studied the phenomenon of logperiodic oscillations in the temperature dependence The authors acknowledge the partial financial support of CNPq and CAPES (Brazilian research agencies) and FAPEAL (Alagoas State agency).
5 456 D.J.B. Soares et al. / Physics Letters A 318 (2003) References [1] R.C. Hilborn, Chaos and Nonlinear Dynamics: An Introduction for Scientists and Engineers, Oxford Univ. Press, New York, [2] T.A. Halsey, M.H. Jensen, L.P. Kadanoff, I. Procaccia, B.I. Shraiman, Phys. Rev. A 33 (1986) [3] D. Levine, P.J. Steinhardt, Phys. Rev. Lett. 53 (1984) [4] M. Senechal, Quasicrystals and Geometry, Cambridge Univ. Press, New York, [5] C. Tsallis, L.R. da Silva, R.S. Mendes, R.O. Vallejos, A.M. Mariz, Phys. Rev. E 56 (1997) R4922. [6] R.O. Vallejos, R.S. Mendes, L.R. da Silva, C. Tsallis, Phys. Rev. E 58 (1998) [7] R.O. Vallejos, C. Anteneodo, Phys. Rev. E 58 (1998) [8] P. Carpena, A.V. Coronado, P. Bernaola-Galván, Phys. Rev. E 61 (2000) [9] E.M.F. Curado, M.A. Rego-Monteiro, Phys. Rev. E 61 (2000) [10] L.R. da Silva, R.O. Vallejos, C. Tsallis, R.S. Mendes, S. Roux, Phys. Rev. E 64 (2001) [11] C.R. da Silva, H.R. da Cruz, M.L. Lyra, Braz. J. Phys. 29 (1999) 144.
NONLINEAR TIME SERIES ANALYSIS
NONLINEAR TIME SERIES ANALYSIS HOLGER KANTZ AND THOMAS SCHREIBER Max Planck Institute for the Physics of Complex Sy stems, Dresden I CAMBRIDGE UNIVERSITY PRESS Preface to the first edition pug e xi Preface
More informationarxiv:cond-mat/9811359v1 [cond-mat.dis-nn] 25 Nov 1998
arxiv:cond-mat/9811359v1 [cond-mat.dis-nn] 25 Nov 1998 Energy Levels of Quasiperiodic Hamiltonians, Spectral Unfolding, and Random Matrix Theory M. Schreiber 1, U. Grimm, 1 R. A. Römer, 1 and J. X. Zhong
More informationFractal Fourier spectra in dynamical systems
Institut für Physik Universität Potsdam Fractal Fourier spectra in dynamical systems Habilitationsschrift der Mathematisch-Naturwissenschaftlichen Fakultät der Universität Potsdam vorgelegt von Michael
More information7. DYNAMIC LIGHT SCATTERING 7.1 First order temporal autocorrelation function.
7. DYNAMIC LIGHT SCATTERING 7. First order temporal autocorrelation function. Dynamic light scattering (DLS) studies the properties of inhomogeneous and dynamic media. A generic situation is illustrated
More informationAccuracy of the coherent potential approximation for a onedimensional array with a Gaussian distribution of fluctuations in the on-site potential
Accuracy of the coherent potential approximation for a onedimensional array with a Gaussian distribution of fluctuations in the on-site potential I. Avgin Department of Electrical and Electronics Engineering,
More informationDimension Theory for Ordinary Differential Equations
Vladimir A. Boichenko, Gennadij A. Leonov, Volker Reitmann Dimension Theory for Ordinary Differential Equations Teubner Contents Singular values, exterior calculus and Lozinskii-norms 15 1 Singular values
More informationCurrent Standard: Mathematical Concepts and Applications Shape, Space, and Measurement- Primary
Shape, Space, and Measurement- Primary A student shall apply concepts of shape, space, and measurement to solve problems involving two- and three-dimensional shapes by demonstrating an understanding of:
More informationOUTPUT-ONLY MODAL ANALYSIS FOR A 50 YEARS OLD CONCRETE BRIDGE
OUTPUT-ONLY MODAL ANALYSIS FOR A 50 YEARS OLD CONCRETE BRIDGE Tiago Albino a, Cláudio José Martins a, Tiago A. Soares b, and Alberto Ortigão b a Federal Centre for Technological Education of Minas Gerais,
More informationTime series analysis of data from stress ECG
Communications to SIMAI Congress, ISSN 827-905, Vol. 3 (2009) DOI: 0.685/CSC09XXX Time series analysis of data from stress ECG Camillo Cammarota Dipartimento di Matematica La Sapienza Università di Roma,
More informationComputing the Fractal Dimension of Stock Market Indices
Computing the Fractal Dimension of Stock Market Indices Melina Kompella, COSMOS 2014 Chaos is an ancient idea that only recently was developed into a field of mathematics. Before the development of scientific
More informationOverview of Violations of the Basic Assumptions in the Classical Normal Linear Regression Model
Overview of Violations of the Basic Assumptions in the Classical Normal Linear Regression Model 1 September 004 A. Introduction and assumptions The classical normal linear regression model can be written
More informationDynamical order in chaotic Hamiltonian system with many degrees of freedom
1 Dynamical order in chaotic Hamiltonian system with many degrees of freedom Tetsuro KONISHI Dept. of Phys., Nagoya University, Japan tkonishi@r.phys.nagoya-u.ac.jp Sep. 22, 2006 at SM& FT 2006, Bari (Italy),
More informationEstimation of Fractal Dimension: Numerical Experiments and Software
Institute of Biomathematics and Biometry Helmholtz Center Münhen (IBB HMGU) Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch of Russian Academy of Sciences, Novosibirsk
More informationGreedy Routing on Hidden Metric Spaces as a Foundation of Scalable Routing Architectures
Greedy Routing on Hidden Metric Spaces as a Foundation of Scalable Routing Architectures Dmitri Krioukov, kc claffy, and Kevin Fall CAIDA/UCSD, and Intel Research, Berkeley Problem High-level Routing is
More informationTrading activity as driven Poisson process: comparison with empirical data
Trading activity as driven Poisson process: comparison with empirical data V. Gontis, B. Kaulakys, J. Ruseckas Institute of Theoretical Physics and Astronomy of Vilnius University, A. Goštauto 2, LT-008
More informationhttp://www.elsevier.com/copyright
This article was published in an Elsevier journal. The attached copy is furnished to the author for non-commercial research and education use, including for instruction at the author s institution, sharing
More informationThe Systematic Descent from Order to Chaos
The Systematic Descent from Order to Chaos COURTNEY DARVILLE The Quadratic Iterator Final State Diagrams A method for examining the long-term behaviour of a system 1. Choose an initial value at random
More informationarxiv:cond-mat/0608542v4 [cond-mat.soft] 21 Feb 2007
Three-boson recombination at ultralow temperatures arxiv:cond-mat/0608542v4 [cond-mat.soft] 21 Feb 2007 M. T. Yamashita Universidade Estadual Paulista, 18409-010, Itapeva, SP, Brazil T. Frederico Departamento
More informationCASCADE models or multiplicative processes make especially
IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 45, NO. 3, APRIL 1999 971 Scaling Analysis of Conservative Cascades, with Applications to Network Traffic A. C. Gilbert, W. Willinger, Member, IEEE, and A.
More informationLOCAL SCALING PROPERTIES AND MARKET TURNING POINTS AT PRAGUE STOCK EXCHANGE
Vol. 41 (2010) ACTA PHYSICA POLONICA B No 6 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 LOCAL SCALING PROPERTIES AND MARKET TURNING POINTS AT PRAGUE STOCK EXCHANGE Ladislav Kristoufek Institute
More informationVortices On Rail Road Track : A Possible Realization of Random Matrix Ensemble
arxiv:cond-mat/9405067v1 24 May 1994 Vortices On Rail Road Track : A Possible Realization of Random Matrix Ensemble Yang Chen and Henrik Jeldtoft Jensen Department of Mathematics Imperial College 180 Queen
More informationUnderstanding Poles and Zeros
MASSACHUSETTS INSTITUTE OF TECHNOLOGY DEPARTMENT OF MECHANICAL ENGINEERING 2.14 Analysis and Design of Feedback Control Systems Understanding Poles and Zeros 1 System Poles and Zeros The transfer function
More informationAn analysis of price impact function in order-driven markets
Available online at www.sciencedirect.com Physica A 324 (2003) 146 151 www.elsevier.com/locate/physa An analysis of price impact function in order-driven markets G. Iori a;, M.G. Daniels b, J.D. Farmer
More informationHidden Order in Chaos: The Network-Analysis Approach To Dynamical Systems
769 Hidden Order in Chaos: The Network-Analysis Approach To Dynamical Systems Takashi Iba Faculty of Policy Management Keio University iba@sfc.keio.ac.jp In this paper, I present a technique for understanding
More informationHomework #11 203-1-1721 Physics 2 for Students of Mechanical Engineering
Homework #11 203-1-1721 Physics 2 for Students of Mechanical Engineering 2. A circular coil has a 10.3 cm radius and consists of 34 closely wound turns of wire. An externally produced magnetic field of
More informationMaximum Likelihood Estimation of ADC Parameters from Sine Wave Test Data. László Balogh, Balázs Fodor, Attila Sárhegyi, and István Kollár
Maximum Lielihood Estimation of ADC Parameters from Sine Wave Test Data László Balogh, Balázs Fodor, Attila Sárhegyi, and István Kollár Dept. of Measurement and Information Systems Budapest University
More information8 Fractals: Cantor set, Sierpinski Triangle, Koch Snowflake, fractal dimension.
8 Fractals: Cantor set, Sierpinski Triangle, Koch Snowflake, fractal dimension. 8.1 Definitions Definition If every point in a set S has arbitrarily small neighborhoods whose boundaries do not intersect
More informationNetwork Traffic Invariant Characteristics:Metering Aspects
etwork Traffic Invariant Characteristics:Metering Aspects Vladimir Zaborovsky, Andrey Rudskoy, Alex Sigalov Politechnical University, Robotics Institute St.Petersburg, Russia; Fractel Inc., USA, E-mail:
More informationHurst exponents, power laws, and efficiency in the Brazilian foreign exchange market
Hurst exponents, power laws, and efficiency in the Brazilian foreign exchange market Sergio Da Silva 1, Raul Matsushita 2, Iram Gleria 3, Annibal Figueiredo 4 1 Department of Economics, Federal University
More informationBreeding and predictability in coupled Lorenz models. E. Kalnay, M. Peña, S.-C. Yang and M. Cai
Breeding and predictability in coupled Lorenz models E. Kalnay, M. Peña, S.-C. Yang and M. Cai Department of Meteorology University of Maryland, College Park 20742 USA Abstract Bred vectors are the difference
More informationAsset price dynamics in a financial market with heterogeneous trading strategies and time delays
Physica A 382 (2007) 247 257 www.elsevier.com/locate/physa Asset price dynamics in a financial market with heterogeneous trading strategies and time delays Alessandro Sansone a,b,, Giuseppe Garofalo c,d
More informationThe Power (Law) of Indian Markets: Analysing NSE and BSE Trading Statistics
The Power (Law) of Indian Markets: Analysing NSE and BSE Trading Statistics Sitabhra Sinha and Raj Kumar Pan The Institute of Mathematical Sciences, C. I. T. Campus, Taramani, Chennai - 6 113, India. sitabhra@imsc.res.in
More informationQuasinormal modes of large AdS black holes 1
Quasinormal modes of large AdS black holes 1 UTHET-0-1001 Suphot Musiri and George Siopsis 3 Department of Physics and Astronomy, The University of Tennessee, Knoxville, TN 37996-100, USA. Abstract We
More informationNumerical analysis of Bose Einstein condensation in a three-dimensional harmonic oscillator potential
Numerical analysis of Bose Einstein condensation in a three-dimensional harmonic oscillator potential Martin Ligare Department of Physics, Bucknell University, Lewisburg, Pennsylvania 17837 Received 24
More informationN 1. (q k+1 q k ) 2 + α 3. k=0
Teoretisk Fysik Hand-in problem B, SI1142, Spring 2010 In 1955 Fermi, Pasta and Ulam 1 numerically studied a simple model for a one dimensional chain of non-linear oscillators to see how the energy distribution
More informationA box-covering algorithm for fractal scaling in scale-free networks
CHAOS 17, 026116 2007 A box-covering algorithm for fractal scaling in scale-free networks J. S. Kim CTP & FPRD, School of Physics and Astronomy, Seoul National University, NS50, Seoul 151-747, Korea K.-I.
More informationTHERMAL TO ELECTRIC ENERGY CONVERSION
THERMAL TO ELECTRIC ENERGY CONVERSION PETER L. HAGELSTEIN Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139,USA E-mail: plh@mit.edu As research in the area
More informationMaximum likelihood estimation of mean reverting processes
Maximum likelihood estimation of mean reverting processes José Carlos García Franco Onward, Inc. jcpollo@onwardinc.com Abstract Mean reverting processes are frequently used models in real options. For
More informationTruncated Levy walks applied to the study of the behavior of Market Indices
Truncated Levy walks applied to the study of the behavior of Market Indices M.P. Beccar Varela 1 - M. Ferraro 2,3 - S. Jaroszewicz 2 M.C. Mariani 1 This work is devoted to the study of statistical properties
More information3.2 LOGARITHMIC FUNCTIONS AND THEIR GRAPHS. Copyright Cengage Learning. All rights reserved.
3.2 LOGARITHMIC FUNCTIONS AND THEIR GRAPHS Copyright Cengage Learning. All rights reserved. What You Should Learn Recognize and evaluate logarithmic functions with base a. Graph logarithmic functions.
More informationUnderstanding the evolution dynamics of internet topology
Understanding the evolution dynamics of internet topology Shi Zhou* University College London, Adastral Park Campus, Ross Building, Ipswich, IP5 3RE, United Kingdom Received 2 December 2005; revised manuscript
More informationThis unit will lay the groundwork for later units where the students will extend this knowledge to quadratic and exponential functions.
Algebra I Overview View unit yearlong overview here Many of the concepts presented in Algebra I are progressions of concepts that were introduced in grades 6 through 8. The content presented in this course
More informationTHE MEANING OF THE FINE STRUCTURE CONSTANT
THE MEANING OF THE FINE STRUCTURE CONSTANT Robert L. Oldershaw Amherst College Amherst, MA 01002 USA rloldershaw@amherst.edu Abstract: A possible explanation is offered for the longstanding mystery surrounding
More informationSEMICONDUCTOR lasers with optical feedback have
IEEE JOURNAL OF QUANTUM ELECTRONICS, VOL. 34, NO. 10, OCTOBER 1998 1979 Dynamics and Linear Stability Analysis in Semiconductor Lasers with Phase-Conjugate Feedback Atsushi Murakami and Junji Ohtsubo,
More informationFractional Revival of Rydberg Wave Packets in Twice-Kicked One-Dimensional Atoms
Vol. 0 0) ACTA PHYSICA POLONICA A No. 3 Fractional Revival of Rydberg Wave Packets in Twice-Kicked One-Dimensional Atoms S. Chatterjee Department of Physics, Bidhannagar College, EB-, Sector-, Salt Lake,
More informationp img SRC= fig1.gif height=317 width=500 /center
!doctype html public -//w3c//dtd html 4.0 transitional//en html head meta http-equiv= Content- Type content= text/html; charset=iso-8859-1 meta name= deterministic chaos content= universal quantification
More informationCar Crash: Are There Physical Limits To Improvement?
Car Crash: Are There Physical Limits To Improvement? J. Marczyk Ph.D. CTO, Ontonix www.ontonix.com CONTENTS Models are only models! Outliers, risk, optimality Does optimal mean best? Crash and chaos Complexity:
More informationNumerical and experimental exploration of phase control of chaos
CHAOS 16, 013111 2006 Numerical and experimental exploration of phase control of chaos Samuel Zambrano Nonlinear Dynamics and Chaos Group, Departamento de Matemáticas y Física Aplicadas y Ciencias de la
More informationCreating, Solving, and Graphing Systems of Linear Equations and Linear Inequalities
Algebra 1, Quarter 2, Unit 2.1 Creating, Solving, and Graphing Systems of Linear Equations and Linear Inequalities Overview Number of instructional days: 15 (1 day = 45 60 minutes) Content to be learned
More informationSelf Organizing Maps: Fundamentals
Self Organizing Maps: Fundamentals Introduction to Neural Networks : Lecture 16 John A. Bullinaria, 2004 1. What is a Self Organizing Map? 2. Topographic Maps 3. Setting up a Self Organizing Map 4. Kohonen
More informationMeasurable inhomogeneities in stock trading volume flow
August 2008 EPL, 83 (2008) 30003 doi: 10.1209/0295-5075/83/30003 www.epljournal.org Measurable inhomogeneities in stock trading volume flow A. A. G. Cortines, R. Riera and C. Anteneodo (a) Departamento
More informationForecaster comments to the ORTECH Report
Forecaster comments to the ORTECH Report The Alberta Forecasting Pilot Project was truly a pioneering and landmark effort in the assessment of wind power production forecast performance in North America.
More informationFluctuations in airport arrival and departure traffic: A network analysis
Fluctuations in airport arrival and departure traffic: A network analysis Li Shan-Mei( 李 善 梅 ) a), Xu Xiao-Hao( 徐 肖 豪 ) b), and Meng Ling-Hang( 孟 令 航 ) a) a) School of Computer Science and Technology,
More informationEST.03. An Introduction to Parametric Estimating
EST.03 An Introduction to Parametric Estimating Mr. Larry R. Dysert, CCC A ACE International describes cost estimating as the predictive process used to quantify, cost, and price the resources required
More informationAlgebra 1 2008. Academic Content Standards Grade Eight and Grade Nine Ohio. Grade Eight. Number, Number Sense and Operations Standard
Academic Content Standards Grade Eight and Grade Nine Ohio Algebra 1 2008 Grade Eight STANDARDS Number, Number Sense and Operations Standard Number and Number Systems 1. Use scientific notation to express
More informationAlgebra 2 Chapter 1 Vocabulary. identity - A statement that equates two equivalent expressions.
Chapter 1 Vocabulary identity - A statement that equates two equivalent expressions. verbal model- A word equation that represents a real-life problem. algebraic expression - An expression with variables.
More informationChapter 7. Lyapunov Exponents. 7.1 Maps
Chapter 7 Lyapunov Exponents Lyapunov exponents tell us the rate of divergence of nearby trajectories a key component of chaotic dynamics. For one dimensional maps the exponent is simply the average
More informationNEW YORK STATE TEACHER CERTIFICATION EXAMINATIONS
NEW YORK STATE TEACHER CERTIFICATION EXAMINATIONS TEST DESIGN AND FRAMEWORK September 2014 Authorized for Distribution by the New York State Education Department This test design and framework document
More informationDIODE CIRCUITS LABORATORY. Fig. 8.1a Fig 8.1b
DIODE CIRCUITS LABORATORY A solid state diode consists of a junction of either dissimilar semiconductors (pn junction diode) or a metal and a semiconductor (Schottky barrier diode). Regardless of the type,
More informationReview of Fundamental Mathematics
Review of Fundamental Mathematics As explained in the Preface and in Chapter 1 of your textbook, managerial economics applies microeconomic theory to business decision making. The decision-making tools
More informationRANDOM VIBRATION AN OVERVIEW by Barry Controls, Hopkinton, MA
RANDOM VIBRATION AN OVERVIEW by Barry Controls, Hopkinton, MA ABSTRACT Random vibration is becoming increasingly recognized as the most realistic method of simulating the dynamic environment of military
More informationWhy the high lying glueball does not mix with the neighbouring f 0. Abstract
Why the high lying glueball does not mix with the neighbouring f 0. L. Ya. Glozman Institute for Theoretical Physics, University of Graz, Universitätsplatz 5, A-800 Graz, Austria Abstract Chiral symmetry
More informationarxiv:cond-mat/0308498v1 [cond-mat.soft] 25 Aug 2003
1 arxiv:cond-mat/38498v1 [cond-mat.soft] 2 Aug 23 Matter-wave interference, Josephson oscillation and its disruption in a Bose-Einstein condensate on an optical lattice Sadhan K. Adhikari Instituto de
More informationSelf similarity of complex networks & hidden metric spaces
Self similarity of complex networks & hidden metric spaces M. ÁNGELES SERRANO Departament de Química Física Universitat de Barcelona TERA-NET: Toward Evolutive Routing Algorithms for scale-free/internet-like
More informationHow To Solve The Excluded Volume Problem In A Square Lattice
Nota Científica 24/79 A DIRECT RENORMALIZATION GROUP APPROACH FOR THE EXCLUDED VOLUME PROBLEM S. L. A. de Queiroz and C. M. Chaves DEPARTAMENTO ÜE FÍSICA Outubro 1979 Nota Cientifica 24/79 A DIRECT RENORMALIZATION
More informationEuropäisches Forum Alpbach 15 August, 2003. Lecture 1. What is Chaos?
Europäisches Forum Alpbach 15 August, 2003 Lecture 1 What is Chaos? Chaos James Gleick Edward Lorenz The discoverer of Chaos Chaos in Dynamical Systems Edward Ott The Scientific Method Observe natural
More information3. Reaction Diffusion Equations Consider the following ODE model for population growth
3. Reaction Diffusion Equations Consider the following ODE model for population growth u t a u t u t, u 0 u 0 where u t denotes the population size at time t, and a u plays the role of the population dependent
More informationCHAPTER 28 ELECTRIC CIRCUITS
CHAPTER 8 ELECTRIC CIRCUITS 1. Sketch a circuit diagram for a circuit that includes a resistor R 1 connected to the positive terminal of a battery, a pair of parallel resistors R and R connected to the
More informationGambling on the Budapest stock exchange
Eur. Phys. J. B 7, 333 339 () THE EUROPEAN PHYSICAL JOURNAL B c EDP Sciences Società Italiana di Fisica Springer-Verlag Gambling on the Budapest stock exchange I.M. Jánosi a Department of Physics of Complex
More informationDesign rules for dispersion-managed soliton systems
15 May 22 Optics Communications 26 (22) 193 2 www.elsevier.com/locate/optcom Design rules for dispersion-managed soliton systems E. Poutrina *, Govind P. Agrawal The Institute of Optics, University of
More informationTheory of Aces: Fame by chance or merit?
Theory of Aces: ame by chance or merit? MV Simkin and VP Roychowdhury Department of Electrical Engineering, University of California, Los Angeles, CA 995-594 Abstract We study empirically how fame of WWI
More informationFilling Space with Random Fractal Non-Overlapping Simple Shapes
Filling Space with Random Fractal Non-Overlapping Simple Shapes John Shier 6935 133rd Court Apple Valley, MN, 55124, USA E-mail: johnart@frontiernet.net Abstract We present an algorithm that randomly places
More informationMath 120 Final Exam Practice Problems, Form: A
Math 120 Final Exam Practice Problems, Form: A Name: While every attempt was made to be complete in the types of problems given below, we make no guarantees about the completeness of the problems. Specifically,
More informationBIFURCATION PHENOMENA IN THE 1:1 RESONANT HORN FOR THE FORCED VAN DER POL - DUFFING EQUATION
International Journal of Bifurcation and Chaos, Vol. 2, No.1 (1992) 93-100 World Scientific Publishing Company BIFURCATION PHENOMENA IN THE 1:1 RESONANT HORN FOR THE FORCED VAN DER POL - DUFFING EQUATION
More informationSupplement to Call Centers with Delay Information: Models and Insights
Supplement to Call Centers with Delay Information: Models and Insights Oualid Jouini 1 Zeynep Akşin 2 Yves Dallery 1 1 Laboratoire Genie Industriel, Ecole Centrale Paris, Grande Voie des Vignes, 92290
More informationInstability, dispersion management, and pattern formation in the superfluid flow of a BEC in a cylindrical waveguide
Instability, dispersion management, and pattern formation in the superfluid flow of a BEC in a cylindrical waveguide Michele Modugno LENS & Dipartimento di Fisica, Università di Firenze, Italy Workshop
More informationNONLINEAR TIME SERIES ANALYSIS
NONLINEAR TIME SERIES ANALYSIS HOLGER KANTZ AND THOMAS SCHREIBER Max Planck Institute for the Physics of Complex Systems, Dresden published by the press syndicate of the university of cambridge The Pitt
More informationChapter 29 Scale-Free Network Topologies with Clustering Similar to Online Social Networks
Chapter 29 Scale-Free Network Topologies with Clustering Similar to Online Social Networks Imre Varga Abstract In this paper I propose a novel method to model real online social networks where the growing
More informationFerromagnetic resonance imaging of Co films using magnetic resonance force microscopy
Ferromagnetic resonance imaging of Co films using magnetic resonance force microscopy B. J. Suh, P. C. Hammel, a) and Z. Zhang Condensed Matter and Thermal Physics, Los Alamos National Laboratory, Los
More informationAre the crude oil markets becoming weakly efficient over time? A test for time-varying long-range dependence in prices and volatility
Energy Economics 29 (2007) 28 36 www.elsevier.com/locate/eneco Are the crude oil markets becoming weakly efficient over time? A test for time-varying long-range dependence in prices and volatility Benjamin
More informationSimulation to Analyze Two Models of Agitation System in Quench Process
20 th European Symposium on Computer Aided Process Engineering ESCAPE20 S. Pierucci and G. Buzzi Ferraris (Editors) 2010 Elsevier B.V. All rights reserved. Simulation to Analyze Two Models of Agitation
More informationp(x,t) = 1 t δ F ( x t δ ),
15 July 2002 Physics Letters A 299 (2002) 565 570 www.elsevier.com/locate/pla Lévy statistics in coding and non-coding nucleotide sequences Nicola Scafetta a,b,, Vito Latora c, Paolo Grigolini b,d,e a
More informationA Statistical Model of the Sleep-Wake Dynamics of the Cardiac Rhythm
A Statistical Model of the Sleep-Wake Dynamics of the Cardiac Rhythm PE McSharry 1,2, GD Clifford 1 1 Department of Engineering Science, University of Oxford, Oxford, UK 2 Mathematical Institute, University
More informationP. V A D A S Z J O U R N A L P U B L IC A T IO N S ( 1 9 8 3-2 0 0 7 )
P. V A D A S Z J O U R N A L P U B L IC A T IO N S ( 1 9 8 3-2 0 0 7 ) 1. VADASZ, P., WEINER, D., ZVIRIN, Y.: A Halothermal Simulation of the Dead Sea for Application to Solar Energy Projects, ASME Journal
More informationSwitch Mode Power Supply Topologies
Switch Mode Power Supply Topologies The Buck Converter 2008 Microchip Technology Incorporated. All Rights Reserved. WebSeminar Title Slide 1 Welcome to this Web seminar on Switch Mode Power Supply Topologies.
More informationINTRODUCTION. Logistic[r ]ªFunction[x, rx(1 x)]; (Received 27 April 1997; accepted 27 July 1998)
Mathematica package for analysis and control of chaos in nonlinear systems José Manuel Gutiérrez a and Andrés Iglesias b Department of Applied Mathematics, University of Cantabria, Santander 39005, Spain
More informationInverse velocity statistics in two-dimensional turbulence
PHYSICS OF FLUIDS VOLUME 15, NUMBER 4 APRIL 2003 Luca Biferale Dipartimento di Fisica, Università di Roma Tor Vergata, Roma, Italy and INFM, Unità di Tor Vergata, Via della Ricerca Scientifica 1, I-00133
More informationStatistical Forecasting of High-Way Traffic Jam at a Bottleneck
Metodološki zvezki, Vol. 9, No. 1, 2012, 81-93 Statistical Forecasting of High-Way Traffic Jam at a Bottleneck Igor Grabec and Franc Švegl 1 Abstract Maintenance works on high-ways usually require installation
More informationUsing a Neural Network to Calculate the Sensitivity Vectors in Synchronisation of Chaotic Maps
Using a Neural Network to Calculate the Sensitivity Vectors in Synchronisation of Chaotic Maps by Ana Guedes de Oliveira, Alban P. Tsui and Antonia J. Jones Abstract. When parametric control methods such
More informationNonlinear evolution of unstable fluid interface
Nonlinear evolution of unstable fluid interface S.I. Abarzhi Department of Applied Mathematics and Statistics State University of New-York at Stony Brook LIGHT FLUID ACCELERATES HEAVY FLUID misalignment
More informationLABORATORY 10 TIME AVERAGES, RMS VALUES AND THE BRIDGE RECTIFIER. Bridge Rectifier
LABORATORY 10 TIME AVERAGES, RMS VALUES AND THE BRIDGE RECTIFIER Full-wave Rectification: Bridge Rectifier For many electronic circuits, DC supply voltages are required but only AC voltages are available.
More informationINDIRECT INFERENCE (prepared for: The New Palgrave Dictionary of Economics, Second Edition)
INDIRECT INFERENCE (prepared for: The New Palgrave Dictionary of Economics, Second Edition) Abstract Indirect inference is a simulation-based method for estimating the parameters of economic models. Its
More informationPearson Algebra 1 Common Core 2015
A Correlation of Pearson Algebra 1 Common Core 2015 To the Common Core State Standards for Mathematics Traditional Pathways, Algebra 1 High School Copyright 2015 Pearson Education, Inc. or its affiliate(s).
More informationAnalysis of NASA Common Research Model Dynamic Data
Analysis of NASA Common Research Model Dynamic Data S. Balakrishna 1 Vigyan Inc, Hampton, Va, 23666 Michael J Acheson 2 Project manager, NFMTC, LaRC, Hampton, Va, 23681 Recent NASA Common Research Model
More information- thus, the total number of atoms per second that absorb a photon is
Stimulated Emission of Radiation - stimulated emission is referring to the emission of radiation (a photon) from one quantum system at its transition frequency induced by the presence of other photons
More informationhttp://www.elsevier.com/copyright
This article was published in an Elsevier journal. The attached copy is furnished to the author for non-commercial research and education use, including for instruction at the author s institution, sharing
More informationCycle transversals in bounded degree graphs
Electronic Notes in Discrete Mathematics 35 (2009) 189 195 www.elsevier.com/locate/endm Cycle transversals in bounded degree graphs M. Groshaus a,2,3 P. Hell b,3 S. Klein c,1,3 L. T. Nogueira d,1,3 F.
More informationQuantitative Analysis of Foreign Exchange Rates
Quantitative Analysis of Foreign Exchange Rates Alexander Becker, Ching-Hao Wang Boston University, Department of Physics (Dated: today) In our class project we have explored foreign exchange data. We
More informationRESULTS OF ICARUS 9 EXPERIMENTS RUN AT IMRA EUROPE
Roulette, T., J. Roulette, and S. Pons. Results of ICARUS 9 Experiments Run at IMRA Europe. in Sixth International Conference on Cold Fusion, Progress in New Hydrogen Energy. 1996. Lake Toya, Hokkaido,
More informationNo Evidence for a new phase of dense hydrogen above 325 GPa
1 No Evidence for a new phase of dense hydrogen above 325 GPa Ranga P. Dias, Ori Noked, and Isaac F. Silvera Lyman Laboratory of Physics, Harvard University, Cambridge MA, 02138 In recent years there has
More information